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Master Thesis_Xuan Ma_07312018.pdf (6.02 MB)

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DATA-DRIVEN CURRENT-VOLTAGE FEATURE EXTRACTION AND TIME SERIES ANALYSIS FOR MECHANISTIC PHOTOVOLTAIC MODULE DEGRADATION

Xuan, Ma, Ma
http://orcid.org/0000-0003-2361-2846
http://rave.ohiolink.edu/etdc/view?acc_num=case1533066224373231

Abstract Details

, Master of Sciences, Case Western Reserve University, Mathematics.
In research on photovoltaic device degradation, current-voltage (I -V ) dataset carry a large amount of information in addition to the maximum power point. Solar cell performance parameters such as short circuit current, open circuit voltage, shunt resistance, series resistance, and fill factor are essential for diagnosing the degradation of solar cells and modules. By investigating changes in these parameters over time and performing cross-comparisons between parameters, losses can be analyzed to identify specific power degradation mechanisms, thus giving useful implications to improve lifetime performance and long-term efficiency of devices. This research develops data-driven methods to extract these parameters from I -V data. In contrast to the traditional practice of fitting the diode model to I -V curves individually, this data-driven method can be applied to large volumes of I -V data in a short time. Here, the data-driven feature extraction method was applied to over 2,000,000 I -V curves collected from three different climate zones over seven years. Time series analysis of the extracted features was then incorporated with autoregressive moving average model to examine degradation of the photovoltaic modules.
Jenný Brynjarsdóttir (Committee Chair)
Roger French (Advisor)
Anirban Mondal (Committee Member)
Jennifer Braid (Committee Member)
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Citations

  • Xuan, Ma, M. (n.d.). DATA-DRIVEN CURRENT-VOLTAGE FEATURE EXTRACTION AND TIME SERIES ANALYSIS FOR MECHANISTIC PHOTOVOLTAIC MODULE DEGRADATION [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1533066224373231

    APA Style (7th edition)

  • Xuan, Ma, Ma. DATA-DRIVEN CURRENT-VOLTAGE FEATURE EXTRACTION AND TIME SERIES ANALYSIS FOR MECHANISTIC PHOTOVOLTAIC MODULE DEGRADATION. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1533066224373231.

    MLA Style (8th edition)

  • Xuan, Ma, Ma. "DATA-DRIVEN CURRENT-VOLTAGE FEATURE EXTRACTION AND TIME SERIES ANALYSIS FOR MECHANISTIC PHOTOVOLTAIC MODULE DEGRADATION." Master's thesis, Case Western Reserve University. Accessed MAY 06, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=case1533066224373231

    Chicago Manual of Style (17th edition)

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This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.